{"title":"Low-complexity Delay-Doppler Symbol DNN for OTFS Signal Detection","authors":"Ashwitha Naikoti, A. Chockalingam","doi":"10.1109/VTC2021-Spring51267.2021.9448630","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448630","url":null,"abstract":"In this paper, we consider the problem of low-complexity detection of orthogonal time frequency space (OTFS) modulation signals using deep neural networks (DNN). We consider a DNN architecture in which each symbol multiplexed in the delay-Doppler grid is associated with a separate DNN. The considered symbol-level DNN has fewer parameters to learn compared to a full DNN that takes into account all symbols in an OTFS frame jointly, and therefore has less complexity. Under the assumption of static multipath channel with i.i.d. Gaussian noise, our simulation results show that the performance of the symbol-DNN detection is quite close to that of the full-DNN detection as well as the maximum-likelihood (ML) detection. Further, when the noise model deviates from the standard i.i.d. Gaussian model (e.g., non-Gaussian noise with t-distribution), because of its ability to learn the distribution, the symbol-DNN detection is found to perform better than the ML detection. A similar performance advantage is observed in multiple-input multiple-output OTFS (MIMO-OTFS) where the noise across multiple received antennas are correlated.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133376593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementation of D&F Relay Node for Cooperative MIMO Systems through SDR platform","authors":"Randy Verdecia-Peña, J. Alonso","doi":"10.1109/VTC2021-Spring51267.2021.9448908","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448908","url":null,"abstract":"In recent years, relaying networks are promising for future wireless communication systems, which profoundly enhance link capacity and exploiting cooperative diversity. In this paper, we propose a prototype of a Decode-&-Forward (D&F) Relay Node system based on Software Defined Radio (SDR) using Universal Software Radio Peripheral (USRP) and Matlab™ software. The developed testbed platform allows implementing and test new algorithms and specifications for LTE/LTE-A and 5G. Both Single-Input Single-Output (SISO) and Multi-Input Multi-Output (MIMO) are supported in our testbed. The considered D&F MIMO cooperative system in this paper utilizes Orthogonal Space-Frequency Block Codes (OSFBCs) for the transmission of the data symbols of the source to the destination. The transmission data from eNB has been measured using commercial 4G/5G measurement equipment. It has been demonstrated that D&F cooperative system substantially improves the Bit Error Rate (BER) and throughput of the user, taking higher performance with the 2×2 MIMO technique.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127827138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daisuke Inoue, K. Ota, M. Sawahashi, Satoshi Nagata
{"title":"Physical Cell ID Detection Using Joint Estimation of Frequency Offset and SSS Sequence for NR Initial Access","authors":"Daisuke Inoue, K. Ota, M. Sawahashi, Satoshi Nagata","doi":"10.1109/VTC2021-Spring51267.2021.9448662","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448662","url":null,"abstract":"This paper proposes a physical-layer cell identity (PCID) detection method that employs joint estimation of a frequency offset and the secondary synchronization signal (SSS) sequence for the 5G new radio (NR) initial access with beamforming transmission at a base station. Computer simulation results show that by using the PCID detection method with the proposed joint estimation, an almost identical PCID detection probability to the primary synchronization signal (PSS) detection probability is achieved for an average received signal-to-noise ratio (SNR) of higher than approximately -5 dB. The results suggest that the residual frequency offset is compensated to a sufficiently low level leading to accurate SSS sequence estimation. The results also show that by using the PCID detection method, high PCID detection probabilities of greater than 90% and 50% are achieved at the carrier frequencies of 30 GHz and 50 GHz, respectively, at the average received SNR of 0 dB at the frequency stability for a local oscillator in a set of user equipment of 3 ppm.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127241338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pedestrian Indoor Localization and Tracking Using Hybrid Wi-Fi/PDR for iPhones","authors":"Tuan D. Vy, Thu L. N. Nguyen, Y. Shin","doi":"10.1109/VTC2021-Spring51267.2021.9448859","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448859","url":null,"abstract":"This paper provides a hybrid approach between Wi-Fi and pedestrian dead reckoning (PDR) for the iPhones in indoor environments, and addresses the following two problems. First, since Apple Inc. no longer provides public information about currently-connected Wi-Fi (e.g., service set identifier, received signal strength and channel), Wi-Fi based pedestrian tracking apps that run on the iPhones are more restricted compared to other ones on the Android platforms. Second, even the PDR approach provides such a great way for self-localization, it suffers from accumulated errors of inertial sensors embedded in the smartphones. We propose a conversion function from a Wi-Fi status value to a proximity for the localization purpose. Then, a mobile iPhone collects mobility information from inertial measurements unit (IMU), inputs to the PDR, and combines with Wi-Fi proximity in order to perform accurate self-localization and tracking. Moreover, we improve the PDR by reducing drifting effects caused by the IMU biases. Experiment results show that the proposed scheme is effective and has low complexity, while bringing the benefits from smartphone IMU.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133775171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MSE Based Resource Optimization in Wireless Localization Networks","authors":"Cheng Yang, Fan Liu, Tingting Zhang","doi":"10.1109/VTC2021-Spring51267.2021.9448747","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448747","url":null,"abstract":"Proper resource allocation can improve the positioning accuracy, as well as the energy efficiency of wireless localization networks. Most existing investigations are carried out based on the Cramer Rao Lower Bound (CRLB), which is not always achievable, especially in low signal to noise ratio (SNR) regimes. In this paper, we mainly focus on the mean square error (MSE) achieved directly from various localization algorithms. Due to the fact that, MSE can not be handled in a closed form, learning based frameworks are thus provided. Aiming at the exponential increased state space in the multi-agent-scenario, low complexity alternating solutions are provided. In addition, a robust scheme is given considering the measurement error, which provide the solution for ranging links with clock deviation or obstruction. Numerical results including both simulations and practical experiments validate our analysis, and show great improvements of the proposed frameworks.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133727556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Norshahida Saba, Lauri Mela, Muhammad Usman Sheikh, K. Ruttik, J. Salo, R. Jäntti
{"title":"Measurements at 5G Commercial 26 GHz Frequency with Above and on Rooftop Level Antenna Masts in Urban Environment","authors":"Norshahida Saba, Lauri Mela, Muhammad Usman Sheikh, K. Ruttik, J. Salo, R. Jäntti","doi":"10.1109/VTC2021-Spring51267.2021.9448983","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448983","url":null,"abstract":"A better and accurate knowledge about the channel propagation characteristics is required to fully exploit the commercial frequency band of 26 GHz for Fifth Generation (5G) of cellular systems. Little is known about suitability of current urban macrocellular sites for serving millimeter wave frequency e.g., 26 GHz for 5G base stations. Therefore, in order to efficiently utilize the existing macro sites infrastructure an extensive millimeter wave outdoor measurement campaign is needed. Hence, in this paper we carry out a wide band continuous wave measurement spanning over a bandwidth of 800 MHz. Measurements are done at eighty-one equally separated frequency points in 26 GHz band. The measurements are performed with 76 m and 44 m transmitter antenna height in urban environments, with sufficient number of measurement locations. Mainly, we target the non-line of sight and obstructed-line of sight conditions. We carefully compute the path loss based on the measurement data, and also present the path loss exponent based large scale path loss model for two different considered scenarios. This paper also we discuss the impact of transmitter antenna height on the signal propagation.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115328923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Total Transmission Time Minimization in Wireless Powered Hybrid Passive-Active Communications","authors":"Yinghui Ye, Liqin Shi, Xiaoli Chu, G. Lu","doi":"10.1109/VTC2021-Spring51267.2021.9449060","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9449060","url":null,"abstract":"Transmission delay is critical to time-sensitive and power-limited Internet of Things (IoT) systems. This work proposes a hybrid transmission scheme, which enables energy-constrained sensor nodes (SNs) to deliver data to an information fusion via a hybrid of backscatter communications (BackCom) and wireless powered active communications (WPAC). Considering a non-linear energy harvesting (EH) model for each SN, we formulate a non-convex optimization problem to minimize the total transmission time of all SNs while satisfying the minimum throughput requirement for each SN, by jointly optimizing the time allocation between BackCom and active communications (AC), the transmit power and the power reflection coefficients of each SN, and the transmit power of the energy source (ES). We first determine the optimal transmit power of the ES by contradiction and then transform the non-convex problem into a convex one by introducing a series of auxiliary variables. We theoretically prove that the minimum total transmission time is achieved when each SN exhausts all the harvested energy and does not work in the pure BackCom mode. Simulation results show that the proposed scheme achieves a much shorter total transmission time than the existing schemes, e.g., binary transmission scheme, WPAC, and pure BackCom.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"778 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123892248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mads Lauridsen, L. L. Sanchez, D. Laselva, J. Kaikkonen
{"title":"Study of Paging Enhancements for UE Energy Saving in 5G New Radio","authors":"Mads Lauridsen, L. L. Sanchez, D. Laselva, J. Kaikkonen","doi":"10.1109/VTC2021-Spring51267.2021.9448765","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448765","url":null,"abstract":"The paging functionality in New Radio release 15 can be energy consuming, especially if a UE is rarely paged or its Paging Occasion (PO) suffers from a high false paging alarm rate. Therefore, paging enhancements for UE power saving are being developed in New Radio release 17. In this work, the concept of Early Paging Indication (EPI), where a UE is notified in advance of its PO whether the UE has to monitor the PO, is examined. As a result, the UE can skip the time-frequency synchronization phase prior to a PO, if the UE need not monitor the PO. The EPI can be signaled via a Downlink Control Information (DCI) message carried in the Physical Downlink Control Channel or via a Reference Signal, e.g. the Secondary Synchronization Signal. Furthermore, the EPI may carry sub-grouping information to divide the UEs, sharing the same PO, into sub-groups, resulting in lower group paging rate and fewer false paging alarms.Simulation results show the EPI can lead to 17 %-34 % energy savings as compared to the release 15 basic paging procedure, depending on the UE SINR radio conditions. If the EPI is complemented with sub-group information an additional 10 % energy can be saved, while also mitigating the impact of high group paging rates. The DCI-based EPI can flexibly contain the sub-group indication, and potentially also Short Message and other information, and is therefore the preferred option.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114688198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"GLRT-Based Preamble Sequence Detection in OFDM","authors":"Chieh-Ju Tsai, Wei-Chang Chen, Fu-Chuan Hung, Char-Dir Chung","doi":"10.1109/VTC2021-Spring51267.2021.9449049","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9449049","url":null,"abstract":"In practical orthogonal frequency division multiplexing standards, preamble waveforms are adopted to facilitate timing synchronization, frequency synchronization and system parameter acquisition. Due to implementation simplicity, the crosscorrelation-based method is adopted to determine the transmitted preamble sequence in the literature. However, because of the lack of channel estimation, the crosscorrelation-based method suffers severe performance degradation in large delay spread channels. To solve the problem, a preamble sequence detection method based on the generalized likelihood ratio test (GLRT) principle is proposed and analyzed in the paper. Due to embedded channel estimation, the GLRT method is shown to provide the decision error performance robust to channel dispersion and outperform the conventional crosscorrelation-based method significantly in large delay spread channels, at cost of increased implementation complexity.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114701212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive Scheduling for Joint CommRadar: Optimizing Tradeoff Among Data Throughput, Queueing Delay, and Detection Opportunities","authors":"Honghao Ju, Yan Long, X. Fang, Rong He","doi":"10.1109/VTC2021-Spring51267.2021.9448696","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448696","url":null,"abstract":"In this paper, we focus on the performance tradeoff optimization problem between communication and radar in a time-division joint CommRadar system, and this promises a low-complexity hardware architecture. We ensure the communication performance in terms of time averaged data throughput and queueing delay. We guarantee radar detection opportunities in two aspects: 1) ensuring the detection performance (maximum detection range and velocity, velocity resolution) for each detection, and 2) maintaining the minimal time averaged detection chance over long term. To achieve this, we explore the communication traffic diversity to design an adaptive scheduling policy. We optimize the CommRadar mode selection, utilize the un-occupied transmission time for increasing radar detection opportunities when the data traffic is light, and balance the time allocation between communication and radar while the data traffic is heavy. We provide a quantitative performance bound for data throughput, queueing delay, and detection opportunities for our adaptive scheduling method. We verify the performance of our method through simulation. Extensive simulation results demonstrate that our method could greatly reduce the communication performance loss after integrating the radar functionality, while guaranteeing radar detection opportunities.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114922471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}